Noometry

Model comparison

GLM-4.5V vs Grok 4.3

Grok 4.3 is the stronger model overall, scoring 43.8 to 39.8 on the Noometry Index. GLM-4.5V costs 1.7× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

Last verified . 14 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

Grok 4.3 xAI

43.8

Rank #86 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 1 category and Grok 4.3 in 8 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Grok 4.3 leads 52.5 to 37.5.
  • GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
  • Grok 4.3 accepts more context: 1M tokens versus 64K.
  • GLM-4.5V has downloadable open weights; the other is API-only.

Side by side

GLM-4.5VGrok 4.3
ProviderZ.ai (Zhipu)xAI
Noometry Index39.843.8
Released2025-08-112026-04-17
WeightsOpenProprietary
Context window64K1M
Max output16K30K
Input $ / M tokens$0.60$1.25
Output $ / M tokens$1.80$2.50
Results tracked1540

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Category by category

Coding Grok 4.3 leads

GLM-4.5V: 39.5 (#155), Grok 4.3: 41.6 (#121)

BenchmarkGLM-4.5VGrok 4.3
LMArena Coding13471415
LMArena WebDev—1357
SciCode—47.3%
WeirdML—49.9%
ALE-Bench—944.17

Agentic & Tool Use Not comparable

GLM-4.5V: —, Grok 4.3: 27.7 (#99)

BenchmarkGLM-4.5VGrok 4.3
GDP.pdf—8%
LMArena Search—1165
Vending-Bench 2—35.26

Reasoning Grok 4.3 leads

GLM-4.5V: 27.4 (#119), Grok 4.3: 35.9 (#68)

BenchmarkGLM-4.5VGrok 4.3
LMArena Hard Prompts13341396
Kagi LLM Benchmark59.8%—
NYT Connections (extended)—55.2%
CritPt—8%
Chess Puzzles—25%
DTBench—90.7%
LMCA—38.3%
Epoch Capabilities Index—149.16
ForecastBench—60.3

Math Grok 4.3 leads

GLM-4.5V: 37.4 (#159), Grok 4.3: 46.0 (#74)

BenchmarkGLM-4.5VGrok 4.3
LMArena Math13541388
FrontierMath (Tiers 1-3)—42.8%
FrontierMath Tier 4—14.6%
OTIS Mock AIME 2024-2025—93.3%
ProofBench—11%

Knowledge Grok 4.3 leads

GLM-4.5V: 37.5 (#156), Grok 4.3: 52.5 (#62)

BenchmarkGLM-4.5VGrok 4.3
LMArena Expert13531385
GPQA Diamond—88.8%
SimpleQA Verified—33.2%

Multimodal GLM-4.5V leads

GLM-4.5V: 34.3 (#92), Grok 4.3: 31.6 (#104)

BenchmarkGLM-4.5VGrok 4.3
LMArena Vision11541229
Blueprint-Bench 2—0%

Multilingual Grok 4.3 leads

GLM-4.5V: 44.6 (#177), Grok 4.3: 50.5 (#120)

BenchmarkGLM-4.5VGrok 4.3
LMArena Non-English13031385
LMArena Chinese13371422
LMArena Russian12981399
LMArena Spanish13361398
LMArena French—1412
LMArena German—1395
LMArena Japanese—1379
LMArena Korean—1356

Instruction Following Grok 4.3 leads

GLM-4.5V: 69.2 (#175), Grok 4.3: 72.1 (#140)

BenchmarkGLM-4.5VGrok 4.3
LMArena Instruction Following13111366

Long Context Grok 4.3 leads

GLM-4.5V: 39.6 (#171), Grok 4.3: 42.5 (#123)

BenchmarkGLM-4.5VGrok 4.3
LMArena Longer Query13041393

Writing & Preference Grok 4.3 leads

GLM-4.5V: 52.5 (#170), Grok 4.3: 58.5 (#118)

BenchmarkGLM-4.5VGrok 4.3
LMArena Text13331397
LMArena Creative Writing12951380
LMArena Multi-Turn13321406
EQ-Bench 4—1075

Frequently asked questions

Is GLM-4.5V better than Grok 4.3?

Grok 4.3 is the stronger model overall, scoring 43.8 to 39.8 on the Noometry Index. GLM-4.5V costs 1.7× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5V or Grok 4.3?

GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.

Is GLM-4.5V or Grok 4.3 better for coding?

Grok 4.3 scores higher on coding benchmarks: 41.6 versus 39.5 in the Noometry coding category.

Which has the bigger context window?

Grok 4.3 does, with 1M tokens against 64K.

How many benchmarks do GLM-4.5V and Grok 4.3 share?

14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Grok 4.3 has 40.

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